title: Data and knowledge management in cross-Omics research projects.
abstract: Cross-Omics studies aimed at characterizing a specific phenotype on multiple levels are entering the -scientific literature, and merging e.g. transcriptomics and proteomics data clearly promises to improve Omics data interpretation. Also for Systems Biology the integration of multi-level Omics profiles (also across species) is considered as central element. Due to the complexity of each specific Omics technique, specialization of experimental and bioinformatics research groups have become necessary, in turn demanding collaborative efforts for effectively implementing cross-Omics. This setting imposes specific emphasis on data sharing platforms for Omics data integration and cross-Omics data analysis and interpretation. Here we describe a software concept and methodology fostering Omics data sharing in a distributed team setting which next to the data management component also provides hypothesis generation via inference, semantic search, and community functions. Investigators are supported in data workflow management and interpretation, supporting the transition from a collection of heterogeneous Omics profiles into an integrated body of knowledge.
authors.affiliation: Emergentec Biodevelopment GmbH, Vienna, Austria.
authors.forename: Martin
authors.initials: M
authors.lastname: Wiesinger
authors.forename: Martin
authors.initials: M
authors.lastname: Haiduk
authors.forename: Marco
authors.initials: M
authors.lastname: Behr
authors.forename: Henrique Lopes
authors.initials: HL
authors.lastname: de Abreu Madeira
authors.forename: Gernot
authors.initials: G
authors.lastname: Glöckler
authors.forename: Paul
authors.initials: P
authors.lastname: Perco
authors.forename: Arno
authors.initials: A
authors.lastname: Lukas
mesh_terms: D019295:Computational Biology / Q000379:methods*; D003299:Cooperative Behavior; D019451:Information Management / Q000379:methods*; D058436:Knowledge Management; D012107:Research Design; D012984:Software